Portrait of Ganesh Ananthanarayanan

Ganesh Ananthanarayanan



I am a Researcher in the Mobility and Networking group at Microsoft Research.

I finished my Ph.D. in the AMP Lab at Berkeley in Dec 2013, advised by Ion Stoica

I’m interested in all aspects of systems and networking. My current research focus:

  • Video Processing: Cameras are everywhere! Large-scale video processing is a grand challenge representing an important frontier. With the rising popularity of Internet of Things videos from factory floors, traffic and police, and retail shops, cameras represent the most challenging of the “things” in terms of data volume, (vision) processing algorithms, response latencies, and security sensitivities.
  • Internet Performance – Bringing Big Data to Networking: Companies like Microsoft have multiple services with worldwide clients that continuously measure performance. Using this large scale data, orders of magnitude more than prior studies, we seek to better understand network performance and create a continuous performance map of the Internet. [SIGCOMM’16][PinDrop]
  • Geo-distributed Analytics: The next generation of big data analytics will no longer be confined to one datacenter but happen across multiple datacenters, edge clusters etc. How will the infrastructure for geo-distributed analytics look like? [OSDI’16-a] [SIGCOMM’15-a]
  • Datacenter Resource Management: Resource management is critical for large scale clusters executing complex computations. We design scheduling solutions – straggler mitigation, fairness, packing, etc. – based on theoretically-founded principles while considering multiple resources (CPU, memory, disk, network). [OSDI’16-b][SIGCOMM’15-b][OSDI’14][SIGCOMM’14][NSDI’14]


Edge Computing

Established: December 6, 2015

News Stories Network World, Microsoft Researcher: Why Micro Datacenters Really Matter to Mobile's Future, September 3, 2015 (also Computer World, IT World, Info World) Shepherd's PI, Why a Cloudlet Beats the Cloud for Mobile Apps, by Lewis Sheppherd, December 13,…


Established: May 28, 2015

The PinDrop project focuses on building the substrate for supporting high-quality real-time streaming over wired and wireless networks. Context Real-time streaming across the wide-area network (WAN) is key to several existing and anticipated services, including voice and video conferencing (e.g.,…